MHN Data Analyst

Marshall Health Network

About The Position

The Data Analyst s responsible for performing work related to creation of performance measurement and operational, financial, and clinical analytics. This role produces critical information for all levels of management, on both a regular schedule and ad hoc as requested, to understand performance at the project, department, and organizational level, and to compare performance with internal and external benchmarks. The position requires a professional degree with training that supports a strong understanding of math, statistics, analytics, and logic-based processes. The Data Analyst focuses on turning data into information, information into insight, and insight into key business decisions.

Requirements

Bachelor’s degree or equivalent experience required
5+ years of position-related experience
Minimum of five years of experience with data analysis and working knowledge of database reporting.
Obtain basic expertise in system reporting tools and data modeling solutions specific to Marshall Health Network within one year of accepting the position.
Strong technical background and advanced math and problem-solving skills.
Strong analytic skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
Good documentation, communication, and interpersonal skills.
Strong SQL skills, including manipulation and management of data.
Assist in creating databases, including designing and implementing extract, load, and transform (ETL) procedures.
Strong intuition about data and ability to communicate findings to technical and non-technical resources.
Proficiency with: SQL (Cerner CCL experience preferred) Visualization tools: Tableau, MS Power BI, DA2 / Business Objects, etc. Enterprise data warehouse construction tools (dbt preferred) Procedure creation for Snowflake, Cerner CCL, and MS SQL Server ETL process creation tools such as MS SQL Server Integration Services (SSIS) Programming in Python or R for data manipulation and API data retrieval (i.e., FHIR)

Nice To Haves

Experience with ambulatory software or other core clinical information systems preferred.

Responsibilities

Provide thought leadership and act as a subject matter expert in analytical approaches and methodology.
Help lead system and project implementations.
Promote a culture of data-driven decision making.
Contribute toward the future technology, process, and financial needs of the health system.
Deliver data insights for management that reflect strategic direction and KPIs for the health network.
Assess and assist with the adoption of toolsets that drive innovation.
Participate in various committees to influence data capabilities and competencies.
Connect each daily task back to a strategic goal, showing the value for each deliverable.
Build, maintain, and improve analytics tools across the organization.
Oversee initiatives to meet or exceed clinical and financial performance expectations and key metrics.
Assist with managing work queues and prioritizing work items for the analytics team.
Stay informed and keep up with industry trends and best practices by attending data conferences, workshops, and seminars, subsequently imparting that data to other analytics team members.
Serve as a mentor for other team members, teaching best practices and techniques.